scispace - formally typeset
Search or ask a question
Institution

University of Bremen

EducationBremen, Germany
About: University of Bremen is a education organization based out in Bremen, Germany. It is known for research contribution in the topics: Population & Context (language use). The organization has 14563 authors who have published 37279 publications receiving 970381 citations. The organization is also known as: Universität Bremen.


Papers
More filters
Journal ArticleDOI
Jelena-R. Ghadri1, Ken Kato1, Victoria L. Cammann1, Sebastiano Gili1, Stjepan Jurisic1, Davide Di Vece1, Alessandro Candreva1, Katharina J. Ding1, Jozef Micek1, Konrad A. Szawan1, Beatrice Bacchi1, Rahel Bianchi1, Rena A. Levinson2, Manfred Wischnewsky3, Burkhardt Seifert1, Susanne A. Schlossbauer1, Rodolfo Citro, Eduardo Bossone, Thomas Münzel, Maike Knorr, Susanne Heiner, Fabrizio D'Ascenzo4, Jennifer Franke5, Annahita Sarcon6, L. Christian Napp7, Miłosz Jaguszewski8, Michel Noutsias9, Hugo A. Katus5, Christof Burgdorf, Heribert Schunkert10, Holger Thiele11, Johann Bauersachs7, Carsten Tschöpe12, Burkert Pieske12, Lawrence Rajan13, Guido Michels14, Roman Pfister14, Alessandro Cuneo, Claudius Jacobshagen15, Gerd Hasenfuß15, Mahir Karakas16, Wolfgang Koenig10, Wolfgang Rottbauer17, Samir M. Said18, Ruediger C. Braun-Dullaeus18, Adrian P. Banning19, Florim Cuculi, Richard Kobza, Thomas Fischer20, Tuija Vasankari21, K.E. Juhani Airaksinen21, Grzegorz Opolski22, Rafal Dworakowski13, Philip MacCarthy13, Christoph Kaiser23, Stefan Osswald23, Leonarda Galiuto24, Filippo Crea24, Wolfgang Dichtl, Klaus Empen25, Stephan B. Felix25, Clément Delmas, Olivier Lairez, Ibrahim El-Battrawy26, Ibrahim Akin26, Martin Borggrefe26, John D. Horowitz27, Martin Kozel28, Petr Tousek28, Petr Widimský28, Ekaterina Gilyarova, Alexandra Shilova, Mikhail Gilyarov, David E. Winchester29, Christian Ukena, Jeroen J. Bax30, Abhiram Prasad31, Michael Böhm, Thomas F. Lüscher32, Frank Ruschitzka1, Christian Templin1 
TL;DR: It is demonstrated that TTS can either be benign or a life-threating condition depending on the inciting stress factor, and a new classification based on triggers is proposed, which can serve as a clinical tool to predict short- and long-term outcomes of TTS.

192 citations

Journal ArticleDOI
TL;DR: In summary, perceptual learning seems to rely at least partly on changes on a relatively early level of cortical information processing (early selection), such as the primary visual cortex under the influence of top-down influences (selection and shaping).
Abstract: Perceptual learning is any relatively permanent change of perception as a result of experience. Visual learning leads to sometimes dramatic and quite fast improvements of performance in perceptual tasks, such as hyperacuity discriminations. The improvement often is very specific for the exact task trained, for the precise stimulus orientation, the stimulus position in the visual field, and the eye used during training. This specificity indicates location of the underlying changes in the nervous system at least partly on the level of the primary visual cortex. The dependence of learning on error feedback and on attention, on the other hand, proves the importance of top-down influences from higher cortical centers. In summary, perceptual learning seems to rely at least partly on changes on a relatively early level of cortical information processing (early selection), such as the primary visual cortex under the influence of top-down influences (selection and shaping). An alternative explanation based on late selection is discussed.

191 citations

Journal ArticleDOI
01 Dec 1991
TL;DR: In this article, a lens of high CFM-12 water centered near 700 m depth is observed at a single station (Sta. 756) south of Crete.
Abstract: CFM-12 (chlorofluoromethane, CCl2F2) data from the 1987 expedition of the F.S. Meteor in the Eastern Mediterranean are presented and discussed in the context of simultaneous oxygen and hydrographic measurements. Taken together, these data strongly suggest that the Adriatic is the only substantial source of bottom and deep water for the Eastern Mediterranean, in that no signatures of Aegean-derived water are found in the Levantine and Ionian Basins below about 1200 m depth. On the basis of a CFM-12 budget, the time-averaged inflow rate of Adriatic deep water into the Ionian is estimated to be 0.3 ± 0.1 Sv. The lowest CFM-12 and oxygen concentrations are found in the deep water between 2800 and 1200 m depth. This water mass is considered the oldest water in the Eastern Mediterranean and appears to be renewed by upwelling of bottom water. A lens of high CFM-12 water centered near 700 m depth is observed at a single station (Sta. 756) south of Crete. According to multi-parameter water analysis this water originates in the Aegean (about 300 m depth). The form of the θ-S relation and the fact that the anomalous water was only observed at one station suggest that inflow of Aegean water occurs in the form of isolated lenses. The salinity distribution in 700 m depth, together with the anomaly at Sta. 756, indicates that water from the Aegean spreads out in the western Levantine and the Ionian between about 500 and 1200 m depth. We propose to denote this water mass Cretan Intermediate Water. Atlantic Water has CFM-12 concentrations in equilibrium with 1987 atmospheric concentrations everywhere in the Eastern Mediterranean, and oversaturations for both CFM-12 and oxygen are found in the seasonal thermocline above it. In contrast, Levantine Intermediate Water (LIW) is undersaturated for both oxygen and CFM-12, even in the presumed formation areas in the northeast Levantine.

191 citations

Journal ArticleDOI
Benjamin Pfeil1, Benjamin Pfeil2, Benjamin Pfeil3, Are Olsen, Dorothee C. E. Bakker4, S. Hankin5, Heather Koyuk6, Alexander Kozyr7, Jeremy Malczyk8, Ansley Manke5, Nicolas Metzl9, Christopher L. Sabine5, J. Akl10, Simone R. Alin5, N. R. Bates11, Richard G. J. Bellerby3, Richard G. J. Bellerby12, Alberto Borges13, Jacqueline Boutin9, Peter J. Brown4, Peter J. Brown14, Wei-Jun Cai15, Francisco P. Chavez16, A. Chen17, C. Cosca5, Andrea J. Fassbender18, Richard A. Feely5, Melchor González-Dávila, Catherine Goyet19, Burke Hales20, Nick J. Hardman-Mountford21, Nick J. Hardman-Mountford22, Christoph Heinze, Maria Hood, Mario Hoppema23, Christopher W. Hunt24, David J. Hydes25, Masao Ishii26, Truls Johannessen3, Truls Johannessen1, Steve D Jones27, Robert M. Key28, Arne Körtzinger29, Peter Landschützer4, Siv K. Lauvset1, Siv K. Lauvset3, Nathalie Lefèvre9, Andrew Lenton10, A. Lourantou9, Liliane Merlivat9, Takashi Midorikawa, Ludger Mintrop, C. Miyazaki30, Aki Murata31, A. Nakadate26, Y. Nakano31, S. Nakaoka32, Yukihiro Nojiri32, Abdirahman M Omar, X. A. Padín33, G.-H. Park34, K. Paterson10, Fiz F. Pérez33, Denis Pierrot34, Alain Poisson19, Aida F. Ríos33, Juana Magdalena Santana-Casiano, Joe Salisbury24, V. V. S. S. Sarma35, Reiner Schlitzer23, Birgit Schneider, Ute Schuster4, Rainer Sieger23, Ingunn Skjelvan3, Ingunn Skjelvan1, Tobias Steinhoff29, T. Suzuki, Taro Takahashi36, K. Tedesco37, Maciej Telszewski38, Helmuth Thomas39, Bronte Tilbrook40, Bronte Tilbrook10, Jerry Tjiputra3, Jerry Tjiputra1, Douglas Vandemark24, T. Veness10, R. Wanninkhof41, Andrew J. Watson4, Ray F. Weiss42, C.S. Wong43, Hisayuki Yoshikawa-Inoue31 
Geophysical Institute, University of Bergen1, University of Bremen2, Bjerknes Centre for Climate Research3, University of East Anglia4, National Oceanic and Atmospheric Administration5, Joint Institute for the Study of the Atmosphere and Ocean6, Oak Ridge National Laboratory7, Yale University8, Pierre-and-Marie-Curie University9, Hobart Corporation10, Bermuda Institute of Ocean Sciences11, Norwegian Institute for Water Research12, University of Liège13, British Antarctic Survey14, University of Georgia15, Monterey Bay Aquarium Research Institute16, National Sun Yat-sen University17, University of Washington18, University of Perpignan19, Oregon State University20, CSIRO Marine and Atmospheric Research21, Plymouth Marine Laboratory22, Alfred Wegener Institute for Polar and Marine Research23, University of New Hampshire24, National Oceanography Centre, Southampton25, Japan Meteorological Agency26, Norwich University27, Princeton University28, Leibniz Institute of Marine Sciences29, Hokkaido University30, Japan Agency for Marine-Earth Science and Technology31, National Institute for Environmental Studies32, Spanish National Research Council33, Cooperative Institute for Marine and Atmospheric Studies34, National Institute of Oceanography, India35, Lamont–Doherty Earth Observatory36, Silver Spring Networks37, Polish Academy of Sciences38, Dalhousie University39, Cooperative Research Centre40, Atlantic Oceanographic and Meteorological Laboratory41, Scripps Institution of Oceanography42, Fisheries and Oceans Canada43
TL;DR: The surface ocean CO2 Atlas (SOCAT) project as discussed by the authors provides a publicly available, regularly updated, global data set of marine surface CO2, which had been subject to quality control (QC).
Abstract: A well-documented, publicly available, global data set of surface ocean carbon dioxide (CO2) parameters has been called for by international groups for nearly two decades. The Surface Ocean CO2 Atlas (SOCAT) project was initiated by the international marine carbon science community in 2007 with the aim of providing a comprehensive, publicly available, regularly updated, global data set of marine surface CO2, which had been subject to quality control (QC). Many additional CO2 data, not yet made public via the Carbon Dioxide Information Analysis Center (CDIAC), were retrieved from data originators, public websites and other data centres. All data were put in a uniform format following a strict protocol. Quality control was carried out according to clearly defined criteria. Regional specialists performed the quality control, using state-of-the-art web-based tools, specially developed for accomplishing this global team effort. SOCAT version 1.5 was made public in September 2011 and holds 6.3 million quality controlled surface CO2 data points from the global oceans and coastal seas, spanning four decades (1968–2007). Three types of data products are available: individual cruise files, a merged complete data set and gridded products. With the rapid expansion of marine CO2 data collection and the importance of quantifying net global oceanic CO2 uptake and its changes, sustained data synthesis and data access are priorities.

191 citations

Journal ArticleDOI
TL;DR: It is suggested that the slower turnover of these larger species, partly in combination with their ability to migrate, has confounded trophic effects with those of a temporally/spatially changing food-web baseline.
Abstract: The use of stable isotopes to study food webs has increased rapidly, but there are still some uncertainties in their application. We examined the d 15 N and d 13 C values of Antarctic euphausiids and copepods from the Polar Front, Lazarev Sea, and Marguerite Bay against their foodweb baseline of particulate organic matter (POM). Interpretations of trophic level were helped by comparison with other approaches and by calibration experiments with Euphausia superba fed known diets. Results for well-known mesozooplankters (e.g., Calanoides acutusand Metridia gerlachei) were internally consistent and corresponded to those derived from independent methods. This gave confidence in the isotope approach for copepods and probably larval euphausiids. Among the dominant yet poorly known species, it suggested mainly herbivory for Rhincalanus gigas but omnivory for Calanus simillimus and furcilia larvae of Thysanoessa spp. and Euphausia frigida. The d 15 N values of adult copepods were up to 3‰ higher than those of early copepodites, pointing to ontogenetic shifts in diet. In the Lazarev Sea in autumn, the isotopic signals of E. superba larvae suggested pelagic, mainly herbivorous, feeding rather than feeding within the ice. In contrast to the mesozooplankton, some anomalous results for postlarval krill species indicated problems with this method for micronekton. The experiments showed that postlarval E. superba did not equilibriate with a new diet within 30 d. We suggest that the slower turnover of these larger species, partly in combination with their ability to migrate, has confounded trophic effects with those of a temporally/spatially changing food-web baseline. Interpretations of food sources of micronekton could be helped by analyzing their molts or fecal pellets, which responded faster to a new diet.

191 citations


Authors

Showing all 14961 results

NameH-indexPapersCitations
Roger Y. Tsien163441138267
Klaus-Robert Müller12976479391
Ron Kikinis12668463398
Ulrich S. Schubert122222985604
Andreas Richter11076948262
Michael Böhm10875566103
Juan Bisquert10745046267
John P. Sumpter10126646184
Jos Lelieveld10057037657
Michael Schulz10075950719
Peter Singer9470237128
Charles R. Tyler9232531724
John P. Burrows9081536169
Hans-Peter Kriegel8944473932
Harald Haas8575034927
Network Information
Related Institutions (5)
ETH Zurich
122.4K papers, 5.1M citations

93% related

University of Hamburg
89.2K papers, 2.8M citations

92% related

Centre national de la recherche scientifique
382.4K papers, 13.6M citations

92% related

Technische Universität München
123.4K papers, 4M citations

91% related

École Polytechnique Fédérale de Lausanne
98.2K papers, 4.3M citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023343
2022709
20212,106
20202,309
20192,191
20181,965